Detail publikace

ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Originální název

ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Anglický název

ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND

Jazyk

en

Originální abstrakt

The characteristics of the transmission channel inside the car are very important for future intra-car communication technologies. These technologies will create the small wireless networks for the distribution of data services such as internet, video, audio, etc. transmission. For these services, it is preferable to use the UWB frequency band from 3 GHz to 11 GHz because of the hardware support availability. An estimation of transmission channel characteristic is time-consuming and computationally demanding process. Presented paper deals with the channel transfer function estimation for different receiving antenna locations determined by the two dimensional grid. Proposed artificial neural network used for the analysis of the transmission channel is based on the feed forward and radial basis function structure. Neural networks have been optimized using measured channel transfer function to achieve better effectiveness, speed and accuracy.

Anglický abstrakt

The characteristics of the transmission channel inside the car are very important for future intra-car communication technologies. These technologies will create the small wireless networks for the distribution of data services such as internet, video, audio, etc. transmission. For these services, it is preferable to use the UWB frequency band from 3 GHz to 11 GHz because of the hardware support availability. An estimation of transmission channel characteristic is time-consuming and computationally demanding process. Presented paper deals with the channel transfer function estimation for different receiving antenna locations determined by the two dimensional grid. Proposed artificial neural network used for the analysis of the transmission channel is based on the feed forward and radial basis function structure. Neural networks have been optimized using measured channel transfer function to achieve better effectiveness, speed and accuracy.

BibTex


@inproceedings{BUT129207,
  author="Martin {Kotol} and Aleš {Prokeš} and Tomáš {Mikulášek} and Zbyněk {Raida}",
  title="ESTIMATION THE TRANSMISSION BETWEEN ANTENNAS USING ARTIFICIAL NEURAL NETWORKS IN THE UWB BAND",
  annote="The characteristics of the transmission channel inside the car are very important for future intra-car communication technologies. These technologies will create the small wireless networks for the distribution of data services such as internet, video, audio, etc. transmission. For these services, it is preferable to use the UWB frequency band from 3 GHz to 11 GHz because of the hardware support availability. An estimation of transmission channel characteristic is time-consuming and computationally demanding process. Presented paper deals with the channel transfer function estimation for different receiving antenna locations determined by the two dimensional grid.  Proposed artificial neural network used for the analysis of the transmission channel is based on the feed forward and radial basis function structure. Neural networks have been optimized using measured channel transfer function to achieve better effectiveness, speed and accuracy.",
  address="IEEE Xplore",
  booktitle="2016 Progress in Electromagnetic Research Symposium (PIERS)",
  chapter="129207",
  doi="10.1109/PIERS.2016.7734683",
  howpublished="online",
  institution="IEEE Xplore",
  year="2016",
  month="august",
  pages="1465--1469",
  publisher="IEEE Xplore",
  type="conference paper"
}